PELADN WI-6
Geekbench AI Score
618
Single Precision Score
335
Half Precision Score
1098
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | 420homestead |
| Upload Date | August 11 2025 10:01 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) N150 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | PELADN WI-6 |
| Motherboard | PELADN WI-6 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel(R) N150 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 190 Stepping 0 |
| Base Frequency | 800 MHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
346
64.3 IPS |
|
|
Image Classification (HP)
|
100% |
147
27.3 IPS |
|
|
Image Classification (Q)
|
99% |
660
123.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
351
5.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
214
3.47 IPS |
|
|
Image Segmentation (Q)
|
98% |
944
15.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
802
0.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
679
0.79 IPS |
|
|
Pose Estimation (Q)
|
94% |
1823
2.14 IPS |
|
|
Object Detection (SP)
|
100% |
396
31.4 IPS |
|
|
Object Detection (HP)
|
100% |
176
14.0 IPS |
|
|
Object Detection (Q)
|
86% |
715
57.5 IPS |
|
|
Face Detection (SP)
|
100% |
1024
12.2 IPS |
|
|
Face Detection (HP)
|
100% |
442
5.25 IPS |
|
|
Face Detection (Q)
|
97% |
1848
22.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1151
8.87 IPS |
|
|
Depth Estimation (HP)
|
99% |
473
3.65 IPS |
|
|
Depth Estimation (Q)
|
78% |
1994
15.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2117
2.72 IPS |
|
|
Style Transfer (HP)
|
100% |
1580
2.03 IPS |
|
|
Style Transfer (Q)
|
98% |
2809
3.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
412
15.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
315
11.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
811
30.0 IPS |
|
|
Text Classification (SP)
|
100% |
366
488.7 IPS |
|
|
Text Classification (HP)
|
100% |
203
271.0 IPS |
|
|
Text Classification (Q)
|
97% |
516
691.3 IPS |
|
|
Machine Translation (SP)
|
100% |
569
9.81 IPS |
|
|
Machine Translation (HP)
|
100% |
230
3.96 IPS |
|
|
Machine Translation (Q)
|
65% |
727
14.6 IPS |
